Abstract
This paper describes a classification system which uses feature selection method based on logistic regression algorithm. As a feature elimination criterion the variance inflation factor of the statistical logistic regression model is used. The experimental results show that this method can be successfully applied for feature selection in classification problem of multidimensional microarray data.
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Acknowledgments
This research was supported by Polish National Centre for Research and Development under grant No. NCBR Strategmed2/267398/4/NCBR/2015.
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Student, S., Płuciennik, A., Jakubczak, M., Fujarewicz, K. (2018). Feature Selection Based on Logistic Regression for 2-Class Classification of Multidimensional Molecular Data. In: Agre, G., van Genabith, J., Declerck, T. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2018. Lecture Notes in Computer Science(), vol 11089. Springer, Cham. https://doi.org/10.1007/978-3-319-99344-7_29
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DOI: https://doi.org/10.1007/978-3-319-99344-7_29
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